Home affordability has worsened substantially in Canada since 2021. In the first quarter of 2025, the monthly single-family mortgage payment amounted to approximately 61.7 percent of a household's income, on average. In 2021, when affordability had improved slightly, the average mortgage payment constituted 46.5 percent of a household's income.

Context The housing market in Canada has increased tremendously over the past year. This is the dataset contains information on the Canadian housing market from 2021-2022. I think this is a good introductory dataset for learning data visualization and analyzing tabular data.

Content The data is specific to the cost of detached houses in Canada based on data provided by several provincial realtors. There are two datasets. The first is the average home price in Canadian provinces. The columns are as follows,

Area - Canadian province and/or territory Price January 2022 - mean house price in the province as of January 2022 (in CAD) Price January 2021 - mean house price in the province as of January 2021 (in CAD) y/y % change - percent change in mean house price between 2021 and 2022

The second is the average home price in major Canadian cities. The columns are as follows, Major city Province Price 2021-2022 - mean house price in the city between 2021 and 2022 (in CAD) Population

Acknowledgments This data was initially featured in Wowa Canadian House Market reports.

Average House Prices in Canada increased to 688800 CAD in October from 687600 CAD in September of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

The average Canadian house price declined slightly in 2023, after four years of consecutive growth. The average house price stood at ******* Canadian dollars in 2023 and was forecast to reach ******* Canadian dollars by 2026. Home sales on the rise The number of housing units sold is also set to increase over the two-year period. From ******* units sold, the annual number of home sales in the country is expected to rise to ******* in 2025. British Columbia and Ontario have traditionally been housing markets with prices above the Canadian average, and both are set to witness an increase in sales in 2025. How did Canadians feel about the future development of house prices? When it comes to consumer confidence in the performance of the real estate market in the next six months, Canadian consumers in 2024 mostly expected that the market would go up. A slightly lower share of the respondents believed real estate prices would remain the same.

A dataset comprising the price, address, number of bathrooms, number of bedrooms, city, and province of real estate listings for Canada's top 45 most populous cities, according to the 2021 census.

Variables:

1. City: City or major metropolitan area within which listings were found. For example, Toronto may include listings from surrounding suburbs such as Markham, Oakville, etc.
2. Price: Listed price for the property in Canadian dollars.
3. Address: Street address and, where applicable, unit number for the listing.
4. Number_Beds: Number of bedrooms mentioned in the listing.
5. Number_Baths: Number of bathrooms mentioned in the listing.
6. Province: Province in which each city resides. Note, border towns such as Ottawa do not include listings from the surrounding out-of-province cities like Gatineau.
7. Population: City population. According to simplemaps (https://simplemaps.com/data/canada-cities)
8. Longitude / Latitude: Longitude and Latitude data for individual cities, taken from simpelmaps (https://simplemaps.com/data/canada-cities)
9. Median_Family_Income: Median household income for the city taken from the 2021 Canadian census.

This dataset can be used for basic linear regression problems or for basic exploratory data analysis.

Data is currently representative of prices as of October 29th 2023. Future updates will occur monthly.

Explore the booming Canadian luxury real estate market! Discover key trends, growth projections (CAGR >10%), leading developers, and regional market analysis for Toronto, Vancouver, and more. Invest wisely with our in-depth market report. Recent developments include: October 2021: The CHEO Foundation gave the first look inside Minto Dream Home, the 'Caraway.' The Minto Dream Home on Skysail Place is a customized bungalow, situated on an oversized corner lot. It's a collaboration by the Minto Group (a Canadian real estate company) with Tanya Collins Design (a residential and commercial interior designer). The Caraway features beautiful views of the Mahogany Pond with an incredible wrap-around porch to enjoy the views and the outdoors, while inside the 4,603 square-foot floor plan offers plenty of space. The Minto Dream Home has a net-zero approach to minimize its carbon footprint and improve the wellness of the planet., March 2021: Skydev (a real estate development and construction oversight company), held a private ceremony to celebrate the start of the development's construction. The new development, called Southfield Green, is owned by Skyline Apartment REIT (a private Canadian real estate investment trust). Once the development is complete, the complex will be managed by Skyline Living (a Canadian residential property management company). The Southfield Green development will comprise a four-storey complex with luxury suites and on-site amenities, including an indoor/outdoor lounge and terrace, a dog run, and an on-site gym and yoga studio. The site is well located within walking distance of grocery stores, restaurants, and transit. The suites will boast fantastic views of the adjacent Southfield Park.. Notable trends are: Pandemic Accelerated Luxury Home Sales in Major Canadian Markets.

Housing Index in Canada decreased to 122.20 points in October from 122.70 points in September of 2025. This dataset provides - Canada New Housing Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Real Residential Property Prices for Canada (QCAR628BIS) from Q1 1970 to Q2 2025 about Canada, residential, HPI, housing, real, price index, indexes, and price.

The average house price in Alberta, Canada in 2024 was approximately ******* Canadian dollars. By 2025, this figure is forecast to reach ******* Canadian dollars. The number of home sales in the province surged in 2021, and in 2025, the annual number of housing transactions is expected to exceed ******. Compared to other provinces, Alberta ranked below the national average, but housing was still more expensive than in New Brunswick and Newfoundland.

The number of home sales in New Brunswick, Canada, surged in 2021, followed by a decrease in the next two years. In 2023, about ***** home sales took place in New Brunswick and this figure is expected to reach ***** in 2025. Meanwhile, transaction activity in Canada is set to increase by 2025. When it comes to house prices, New Brunswick ranked as the province with the most affordable home prices, followed by Newfoundland and Saskatchewan.

New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (6 items: Total units; Semi-detached; Single-detached; Multiples ...).

This table provides data on private household characteristics, including data on counts, housing suitability, and household size and tenure.

Canada Housing Stock: Mobile Homes data was reported at 278.086 Unit th in 2022. This records an increase from the previous number of 276.167 Unit th for 2021. Canada Housing Stock: Mobile Homes data is updated yearly, averaging 258.875 Unit th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 278.086 Unit th in 2022 and a record low of 230.403 Unit th in 2000. Canada Housing Stock: Mobile Homes data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.EB001: Housing Stock.

Housing Assessment Resource Tools (HART) This dataset contains 2 tables and 5 files which draw upon data from the 2021 Census of Canada. The tables are a custom order and contain data pertaining to older adults and housing need. The 2 tables have 6 dimensions in common and 1 dimension that is unique to each table. Table 1's unique dimension is the "Ethnicity / Indigeneity status" dimension which contains data fields related to visible minority and Indigenous identity within the population in private households. Table 2's unique dimension is "Structural type of dwelling and Period of Construction" which contains data fields relating to the structural type and period of construction of the dwelling. Each of the two tables is then split into multiple files based on geography. Table 1 has two files: Table 1.1 includes Canada, Provinces and Territories (14 geographies), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); and Table 1.2 includes Canada and the CMAs of Canada (44). Table 2 has three files: Table 2.1 includes Canada, Provinces and Territories (14), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); Table 2.2 includes Canada and the CMAs of Canada excluding Ontario and Quebec (20 geographies); and Table 2.3 includes Canada and the CMAs of Canada that are in Ontario and Quebec (25 geographies). The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia) as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), as a whole as well as all census divisions (CDs) within the 3 territories - All 43 census metropolitan areas (CMAs) in Canada Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Universe: Full Universe: Population aged 55 years and over in owner and tenant households with household total income greater than zero in non-reserve non-farm private dwellings. Definition of Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Table 1: Age / Gender (12) 1. Total – Population 55 years and over 2. Men+ 3. Women+ 4. 55 to 64 years 5. Men+ 6. Women+ 7. 65+ years 8. Men+ 9. Women+ 10. 85+ 11. Men+ 12. Women+ Housing indicators (13) 1. Total – Private Households by core housing need status 2. Households below one standard only...

After plateauing for several years, the value of investment in housing in Canada increased in 2021. From about *** billion Canadian dollars in 2020, housing investment grew to almost *** billion Canadian dollars in 2021. Most of investment activity was private housing investment. Social housing investments amounted to about *** billion Canadian dollars, while social transfers in kind were *** billion Canadian dollars.

The number of home sales in Nova Scotia, Canada, surged in 2021, followed by a decrease in the following two years. In 2024, about ****** home sales took place in Nova Scotia and this figure is expected to reach ****** in 2026. A similar trend could be observed on a national scale, with transaction activity in Canada set to increase by 2026. In terms of home prices, Nova Scotia ranked below the national average, but housing was still significantly more expensive than provinces such as New Brunswick and Newfoundland.

TRREB Releases 2022 Q4 Condo Market Statistics Selling prices for condominium apartments bucked the overall downward trend in the housing market during the fourth quarter of 2022. The average selling price in Q4 2022 stayed in line with the average in Q4 2021. "While condo market conditions have become more balanced over the past year, there has been enough demand relative to supply to support selling prices. On average, the condo market segment is the most affordable. Therefore, it makes sense that we didn9t see the same type of price adjustment, in the face of higher borrowing costs, compared to other more expensive segments like detached homes," said Toronto Regional Real Estate Board (TRREB) President Paul Baron. Total condo apartment sales amounted to 3,582 in Q4 2022 3 down 54.1 per cent compared to Q4 2021. New listings were also down on a year-over-year basis by 14.3 per cent. The average Q4 2022 selling price was $710,520, which was slightly higher than the Q4 2021 average of $710,246. Looking at individual Greater Toronto Area (GTA) regions, a similar trend played itself out, with average selling prices remaining flat compared to last year. "Condo apartments remain an important segment of the market. They are the key entry point for many first-time buyers. Investor-owned condos are also an important source of rental supply in many parts of the GTA. As immigration into Canada continues at a record pace for the foreseeable future, the GTA will welcome many new households. This should see the demand for condos, in both the ownership and rental markets, strengthen moving forward," said TRREB Chief Market Analyst Jason Mercer.

The Canadian property insurance market, while exhibiting resilience, is undergoing significant transformation driven by several key factors. The period between 2019 and 2024 showed steady growth, likely influenced by increasing property values, a growing population, and heightened awareness of potential risks like climate change-related events (e.g., wildfires, floods). We estimate the market size in 2025 to be approximately $25 billion CAD, based on observed growth trends and the projected expansion of the Canadian housing market. Looking ahead to 2033, a Compound Annual Growth Rate (CAGR) needs to be estimated. Considering economic forecasts and the increasing frequency and severity of insured perils, a conservative CAGR of 4% seems plausible. This would position the market size at roughly $36 billion CAD by 2033. Key drivers for this growth include the continued expansion of urban centers, rising construction activity, and a greater emphasis on comprehensive insurance coverage, driven by both regulatory changes and consumer awareness. However, challenges remain. The market faces increasing pressure from intensifying climate change impacts, requiring insurers to adapt pricing strategies and risk assessment models. Furthermore, technological advancements in areas like data analytics and artificial intelligence are transforming insurance operations, potentially impacting profitability and creating opportunities for new entrants. Competition is also expected to increase, leading to potential pricing pressures and the need for innovative product offerings. Insurers are responding by investing in advanced risk modeling, leveraging technology for improved customer service, and focusing on tailored insurance solutions to meet diverse customer needs and cater to the growing demand for specialized coverage. Ultimately, the Canadian property insurance market’s future trajectory will depend on the interplay between these growth drivers, challenges, and the innovative strategies employed by market players. Recent developments include: P/C Agency Mergers Rise 10% in First Half of 2021 - There were 339 announced property/casualty insurance agency mergers and acquisitions during the first half of 2021, up from 307 in 2020., CMHC Changes Underwriting Practices on Mortgage Loan Insurance - Canada Mortgage and Housing Corp. is easing its underwriting criteria for mortgage loan insurance after changes it made last year were not effective and caused it to lose market share. The federal housing agency said that it returned to considering a gross debt service ratio of up to 39 per cent and a total debt service ratio of up to 44 per cent for borrowers who have a strong history of managing payment obligations. Gross debt service refers to the maximum amount of gross annual income that can be used for home-related expenses like mortgages, heat or condo fees, while total debt service is calculated when these expenses are combined with monthly debt payments owed on items such as credit cards or cars.. Notable trends are: CATASTROPHIC LOSSES.

Canada Housing Stock data was reported at 16,423.426 Unit th in 2022. This records an increase from the previous number of 16,174.676 Unit th for 2021. Canada Housing Stock data is updated yearly, averaging 14,281.239 Unit th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 16,423.426 Unit th in 2022 and a record low of 12,200.810 Unit th in 2000. Canada Housing Stock data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.EB001: Housing Stock.